Mr. Robert Murphy

  Strategic tax planning is a proactive financial approach that focuses on optimizing tax efficiency while ensuring compliance with relevant laws and regulations. It is an essential component of personal and business financial management, aimed at reducing tax liabilities, preserving wealth, and fostering long-term financial stability. At its core, strategic tax planning involves leveraging legal provisions, deductions, credits, and exemptions to minimize taxable income. [....] » Read More

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  Mr. Suryakiran Navath CEO & Editor In Chief

  In an era dominated by digital transformation and data modernization, robust data governance has become a critical enabler of organizational success. Data governance involves the management of data’s availability, usability, integrity, and security, ensuring it aligns with an organization’s policies and regulations. As companies modernize their data ecosystems, the complexities of governing data effectively increase, making it imperative to integrate governance strategies into every phase of modernization. [....] » Read More

  Mr. Santhosh Kumar Pendyala • Senior Manager - Artificial Intelligence and Analytics

   In the era of data-driven decision-making, effective data and access governance are critical for ensuring security, compliance, and organizational agility. This presentation delves into the capabilities of Databricks Unity Catalog.. [....]»
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  Mr. Tirumala Rao Gundala • Consulting Technical Manager & Performance Architect

   Cloud computing and data infrastructure form the foundation of modern digital ecosystems, enabling businesses and individuals to access, manage, and store data efficiently and securely. These technologies provide scalable and cost-effective solutions to meet the growing demand for computational power, data processing, and storage across diverse industries. [....]»
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  Dr. Venkata Sarika Kondra • Senior Data Scientist

   Artificial intelligence (AI) has the potential to significantly advance Diversity, Equity, and Inclusion (DEI) in the workplace by addressing biases in communication and decision-making processes. This paper examines how AI can be employed to identify, mitigate, and eliminate biases that often arise unconsciously in human interactions. [....] » Read More

  Mr. Vijay Kumar Adari • Senior Technical Project Manager

   The rapid evolution of digital enterprises has placed data modernization at the core of organizational transformation. As businesses strive to harness the power of data, the integration of Business Intelligence (BI) solutions and Data Science techniques has become essential for driving innovation and competitive advantage. [....] »
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  Mr. Surya Rao Rayarao • Lead Software Engineer

   Manual processing of 401(k) plan documents, such as Summary Plan Descriptions (SPDs) and amendments, is tedious, error-prone, and time-consuming. This research introduces an AI-driven framework leveraging Natural Language Processing (NLP) and Computer Vision for automated data extraction, classification, and validation. The proposed system significantly improves accuracy (20% over manual methods), reduces processing time (by 60%), and decreases errors (by 35%).[....] » Read More

  Mr. Janaki Ramkiran Gummaluri , • Sr. Principal Data Services

   Data modernization involves updating data infrastructures from outdated systems to modern platforms to enhance decision-making, improve data security, and achieve cost-efficiency. This process includes adopting cloud technology for scalability, integrating data to create a unified view, and implementing strong data governance practices.Advanced analytics, powered by AI and machine learning, further drive innovation and insights. [....] » Read More

  Mr. Vinay Kumar Chunduru , • Sr BI Data Engineer, Ascendion Inc

   Cloud computing has revolutionized the way organizations manage and utilize data infrastructure. By leveraging the scalability, flexibility, and cost-efficiency of cloud services, businesses can dynamically allocate resources to meet varying demands. This paradigm shift enables seamless integration of data storage, processing, and analytics, fostering innovation and agility. Key components of cloud data infrastructure include virtualized computing resources, distributed storage systems, and advanced networking capabilities. [....] » Read More

  Mr. Veeresh Dachepalli, • Software Developer

  Legacy System Modernization is a transformative process that allows organizations to overcome the limitations of outdated systems by adopting advanced, efficient, and scalable data architectures. In this seminar, we delve into the essence of Data Modernization, a cornerstone of this transition. Participants will learn about the pressing challenges posed by legacy systems, such as high maintenance costs, lack of scalability, and security vulnerabilities. [....] » Read More

  Mr. Venkata Kalyana Chakravarthy Gentena, • Project Manager

  In today's rapidly evolving digital landscape, data modernization has become a pivotal strategy for enterprises striving to remain competitive and innovative. Data modernization involves the transformation of legacy data systems into modern, agile, and scalable infrastructures, enabling organizations to harness the full potential of their data. This paper explores the critical role of data modernization in transforming enterprises for the digital age, highlighting key strategies, benefits, and challenges.[....] » Read More

  Mr. Nitesh Kumar Ramancha• Sr. Technical Manager

  As organizations continue to embrace digital transformation, data modernization has become a critical enabler of business agility and innovation. One of the key future trends in data modernization is the increasing adoption of cloud-native architectures, which provide scalability, flexibility, and cost-efficiency. [....] » Read More

  Mr. Sushil Prabhu Prabhakaran • Full Stack Lead

  The integration of artificial intelligence (AI) and cloud infrastructure is fundamentally transforming healthcare delivery systems, presenting unprecedented opportunities for improving patient care and operational efficiency. This article examines the architectural framework and implementation strategies of cloud-enabled AI systems in healthcare. [....] » Read More

  Mr. Prabhakar Vagvala • Automation Framework and Test Execution

  The eye care medical devices industry is embracing data modernization to enhance operational efficiency, ensure regulatory compliance, and improve patient outcomes. With the rise of advanced technologies such as IoT, artificial intelligence (AI), and cloud computing, organizations are prioritizing the transformation of legacy data systems. This includes migrating on-premise systems to cloud platforms, integrating data from multiple devices and systems, and deploying advanced analytics to derive actionable insights. [....]» Read More

  Mr. Seetaram Rayarao • Senior Tech Lead

  In the rapidly evolving landscape of enterprise digital transformation, Generative AI has emerged as a transformative technology, enabling businesses to harness the power of artificial intelligence for enhanced decision-making, operational efficiency, and personalized customer experiences. This presentation delves into the groundbreaking concept of function calling within Generative AI, a capability that allows AI systems to dynamically interact with external tools, APIs, and data sources. [....]» Read More

  Mr. Rakesh Mittapally • Tableau/MicroStrategy Architect and Administrator

  In today's fast-paced digital landscape, organizations are generating vast amounts of data at an unprecedented rate. However, many companies are still relying on outdated data management systems, which can hinder their ability to extract insights and make informed decisions. . Data modernization is the process of updating and transforming traditional data management systems to meet the demands of the digital age.By modernizing their data infrastructure, organizations can unlock new business value, improve operational efficiency.. [....]» Read More

  Ms. Tejasvi Gorre • Staff Software Engineer

   In the era of digital transformation, data modernization is no longer a choice but a necessity for enterprises aiming to stay competitive and innovative. This presentation delves into the transformative power of AI and machine learning (ML) in upgrading legacy systems to modern, scalable platforms. It explores key challenges, such as data silos, scalability issues, and security concerns, while offering actionable strategies to overcome them. Attendees will gain insights into building a roadmap for successful data modernization. [....]» Read More

  Mr. Vedaswaroop Meduri • Full Stack Lead

   The convergence of real-time data analytics, cloud computing, and Generative AI (GenAI) transforms how organizations process information and make decisions. This article explores the integration of GenAI with Google Cloud's real-time analytics capabilities, examining its impact on business operations and decision-making processes across various industries. By analyzing the implementation of these technologies in sectors such as finance, healthcare, and retail, we demonstrate how this integration enhances operational efficiency.[....]» Read More

  Mr. Satya Ballamudi • SAP Solution Architect

   SAP Extended Warehouse Management (SAP EWM) is a robust, feature-rich solution designed to optimize warehouse operations, drive efficiency, and achieve operational excellence in warehousing. By leveraging advanced tools and processes, SAP EWM supports seamless inventory management, enhances productivity, and fosters agility in dynamic supply chain environments. SAP EWM is part of the SAP Supply Chain Management suite, offering comprehensive functionality for managing complex warehouse operations. [....]» Read More

  Mr. Nikhil Paluru • Data Engineer

   The growing complexity of modern enterprises has made effective data integration and interoperability critical to operational success. As organizations increasingly rely on data-driven decision-making, the challenge of overcoming data silos becomes paramount. This session will explore cutting-edge strategies for seamless data integration, focusing on the removal of barriers between isolated data sources. [....]» Read More

  Mr. Sunil Kumar Nadiminti • Business Intelligence Engineer

   Business Intelligence (BI) analytics plays a pivotal role in driving data modernization, enabling organizations to harness the power of their data for informed decision-making and strategic growth. As businesses evolve in the era of digital transformation, the modernization of data processes and tools is essential for unlocking the full potential of organizational data. BI analytics serves as the bridge between raw data and actionable insights, making it an indispensable component of this journey. [....]» Read More

  Mr. Venkata Kalyan Polamarasetty

   In today’s software world, we’re moving from large monolithic application towards using small, independent software parts called microservices. These microservices are packed into containers and run on a cloud native system like Docker, and Kubernetes. However, managing lots of these microservices can be tricky. Manual deployment of these applications takes more time and limits how quickly we can deliver our applications.[....]» Read More